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Gustavo E. A. P. A. Batista

Gustavo E. A. P. A. Batista

University of New South Wales
Australia

D-Index & Metrics

Computer Science

D-Index
40
Citations
14055
World Ranking
9042
National Ranking
278

Gustavo E. A. P. A. Batista publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Gustavo E. A. P. A. Batista sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 130 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Gustavo E. A. P. A. Batista D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Gustavo E. A. P. A. Batista sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Gustavo E. A. P. A. Batista is affiliated with the University of New South Wales in Australia. Their research primarily falls under the field of Computer Science, with a significant focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Signal Processing, Electrical and Electronic Engineering, and Economics and Econometrics.

The scientist has explored a variety of topics within their work, such as:

  • Anomaly Detection Techniques and Applications
  • Network Security and Intrusion Detection
  • Stochastic Gradient Optimization Techniques
  • Internet Traffic Analysis and Secure E-voting
  • Data Stream Mining Techniques
  • Machine Learning and Data Classification
  • Age of Information Optimization

Gustavo E. A. P. A. Batista's recent publications demonstrate a diverse range of applied research areas:

  • COVID-Safe Spatial Occupancy Monitoring Using OFDM-Based Features and Passive WiFi Samples, 2021, ACM Transactions on Management Information Systems
  • Update Compression for Deep Neural Networks on the Edge, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Pedestrian trajectory prediction using goal-driven and dynamics-based deep learning framework, 2025, Expert Systems with Applications
  • FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets, 2025, Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • Efficient IoT Traffic Inference: From Multi-view Classification to Progressive Monitoring, 2023, ACM Transactions on Internet of Things

The scientist frequently collaborates with several other researchers, reflecting ongoing partnerships in their field. The most common co-authors include:

  • Hassan Habibi Gharakheili
  • Salil S. Kanhere
  • Zahra Donyavi
  • Yunrui Zhang
  • Arash Shaghaghi

Gustavo's work is published in various venues, with a concentration in a few prominent outlets. The most frequent publication venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • ACM Transactions on Management Information Systems
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Expert Systems with Applications

Their research outputs cover a broad spectrum of computer science topics, often intersecting areas of artificial intelligence, data mining, and network security. Gustavo E. A. P. A. Batista's collaborations, in combination with the range of publication venues and topical diversity, illustrate an active engagement in advancing knowledge within these interconnected domains.

Best Publications

  • A study of the behavior of several methods for balancing machine learning training data

    Gustavo E. A. P. A. Batista;Ronaldo C. Prati;Maria Carolina Monard

  • Searching and mining trillions of time series subsequences under dynamic time warping

    Thanawin Rakthanmanon;Bilson Campana;Abdullah Mueen;Gustavo Batista

  • An analysis of four missing data treatment methods for supervised learning

    Gustavo E. A. P. A. Batista;Maria Carolina Monard

  • A Study of K-Nearest Neighbour as an Imputation Method.

    Gustavo E. A. P. A. Batista;Maria Carolina Monard

  • Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior

    Ronaldo C. Prati;Gustavo E. A. P. A. Batista;Maria Carolina Monard

  • A Complexity-Invariant Distance Measure for Time Series.

    Gustavo E. A. P. A. Batista;Xiaoyue Wang;Eamonn J. Keogh

  • CID: an efficient complexity-invariant distance for time series

    Gustavo E. Batista;Eamonn J. Keogh;Oben Moses Tataw;Vinícius M. Souza

  • Balancing Training Data for Automated Annotation of Keywords: a Case Study.

    Gustavo E. A. P. A. Batista;Ana L. C. Bazzan;Maria Carolina Monard

  • Evaluation of statistical and machine learning models for time series prediction: identifying the state-of-the-art and the best conditions for the use of each model

    Antonio Rafael Sabino Parmezan;Vinícius M. A Souza;Gustavo Enrique de Almeida Prado Alves Batista

  • Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping

    Thanawin Rakthanmanon;Bilson Campana;Abdullah Mueen;Gustavo Batista

  • Challenges in benchmarking stream learning algorithms with real-world data

    Vinícius Mourão Alves de Souza;Vinícius Mourão Alves de Souza;Denis Moreira dos Reis;André Gustavo Maletzke;Gustavo Enrique de Almeida Prado Alves Batista;Gustavo Enrique de Almeida Prado Alves Batista

  • Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test

    Denis Moreira dos Reis;Peter Flach;Stan Matwin;Gustavo Batista

  • Class imbalance revisited: a new experimental setup to assess the performance of treatment methods

    Ronaldo C. Prati;Gustavo E. Batista;Diego F. Silva

  • Flying Insect Classification with Inexpensive Sensors

    Yanping Chen;Adena Why;Gustavo E. A. P. A. Batista;Agenor Mafra-Neto

  • Influence of graph construction on semi-supervised learning

    Celso André R. de Sousa;Solange O. Rezende;Gustavo E.A.P.A. Batista

  • Speeding up all-pairwise dynamic time warping matrix calculation

    Diego F. Silva;Gustavo Enrique de Almeida Prado Alves Batista

  • DTW-D: time series semi-supervised learning from a single example

    Yanping Chen;Bing Hu;Eamonn Keogh;Gustavo E.A.P.A Batista

  • A Survey on Graphical Methods for Classification Predictive Performance Evaluation

    R. C. Prati;G. E. A. P. A. Batista;M. C. Monard

  • Applying One-Sided Selection to Unbalanced Datasets

    Gustavo E. A. P. A. Batista;Andre C. P. L. F. Carvalho;Maria Carolina Monard

  • Time Series Classification Using Compression Distance of Recurrence Plots

    Diego F. Silva;Vinicius M. A. De Souza;Gustavo E. A. P. A. Batista

  • Learning with Skewed Class Distributions

    Maria Carolina Monard;Gustavo Enrique de Almeida Prado Alves Batista

  • Fast Unsupervised Online Drift Detection

    Denis Dos Reis;Gustavo Batista;Peter Flach;Stan Matwin

Frequent Co-Authors

Eamonn Keogh
Eamonn Keogh University of California, Riverside
André C. P. L. F. de Carvalho
André C. P. L. F. de Carvalho Universidade de São Paulo
Abdullah Mueen
Abdullah Mueen University of New Mexico
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Stan Matwin
Stan Matwin Dalhousie University
Ana L. C. Bazzan
Ana L. C. Bazzan Federal University of Rio Grande do Sul
João Gama
João Gama University of Porto
Aruna Seneviratne
Aruna Seneviratne University of New South Wales
Peter A. Flach
Peter A. Flach University of Bristol
Jose C. Principe
Jose C. Principe University of Florida

External Links

Personal website of Gustavo E. A. P. A. Batista Google Scholar page

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